Coinbase
Staff Machine Learning Engineer(Platform - Identity)
$218K–$256K
Remote - USA +1 · Remote · Staff · Full-time · Posted Jun 10, 2026
- Location
- Remote - USA
US - Remote Zone 1 (Job Requisitions Only) - Experience
- 8+ years deploying production ML systems at scale.
About the job
Leads development and production enforcement of machine-learning systems for identity verification, fraud detection, and account integrity at Coinbase.
What you'll do
- Own the identity-verification ML stack, including document, face-match, liveness, and attack-detection models.
- Build identity-graph, behavioral, and device-intelligence systems to identify synthetic identities, coordinated fraud, and suspicious sessions.
- Set vendor ML strategy and evaluation practices, and lead engineers while coordinating with ML Platform and Risk ML teams.
What they ask for
- 8+ years deploying production ML systems at scale, with technical leadership across ML architecture.
- Experience in identity verification, biometrics, or account integrity, with applied ML in at least two listed areas: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
- Expert-level Python and production experience with TensorFlow or PyTorch, including model training, evaluation, and serving.
- Ability to translate KYC/AML requirements and fraud trends into ML roadmaps and communicate trade-offs to stakeholders.
Pay
$218,025 — $256,500 USD (annual base salary)
Tools
Python, TensorFlow, PyTorch, GNNs, NLP/LLMs
AI focus
Builds ML systems for identity verification and fraud detection, including biometrics, identity graphs, behavioral and device models, vendor-model evaluation, and responsible use of generative AI with human oversight.
Model-written summary · the original posting is authoritative